[1] Shi, Wuzhen, et al. "Image compressed sensing using convolutional neural network." IEEE Transactions on Image Processing 29 (2019): 375-388.
[2] Shi, Wuzhen, et al. "Video compressed sensing using a convolutional neural network." IEEE Transactions on Circuits and Systems for Video Technology 31.2 (2020): 425-438.
[3] Shi, Wuzhen, et al. "Scalable convolutional neural network for image compressed sensing." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.
[4] Shi, Wuzhen, Fei Tao, and Yang Wen. "Structure-Aware Deep Networks and Pixel-Level Generative Adversarial Training for Single Image Super-Resolution." IEEE Transactions on Instrumentation and Measurement 72 (2023): 1-14.
[5] Shi, Wuzhen, et al. "Occlusion-Aware Graph Neural Networks for Skeleton Action Recognition." IEEE Transactions on Industrial Informatics (2023).
[6] Yang, Wu, and Wuzhen Shi. "Detail generation and fusion networks for image inpainting." ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.
[7] Hongming Luo, Fei Zhou, Kin-Man Lam, and Guoping Qiu. 2022. Restoration of User Videos Shared on Social Media[C]//Proceedings of the 30th ACM International Conference on Multimedia. 2022: 2749-2757.
[8] Hongming Luo, Fei Zhou, Zehong Zhou, Kin-Man Lam, and Guoping Qiu. Restoration of Multiple Image Distortions using a Semi-dynamic Deep Neural Network[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 7871-7880.
[9] Wu Wenhui, Weng Jian, Zhang Pingping, Wang Xu, Yang Wenhan, Jiang Jianming, Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022: 5901-5910.
[10] Gao Shuaibo, Wu Wenhui, Li Hua, Wang Xu, Zhu Linwei, Atmospheric Scattering Model Induced Statistical Characteristics Estimation for Underwater Image Restoration[J]. IEEE Signal Processing Letters, 2023.
[11] Hongming Luo, Fei Zhou, Guangsen Liao, and Guoping Qiu. Super-resolving compressed images via parallel and series integration of artefacts removal and resolution enhancement[J]. Signal Processing, 2023, 205: 108861.
[12] Peihuan Huang,Gaofeng Cao, Fei Zhou,and Guoping Qiu. Video Inverse Tone Mapping Network with Luma and Chroma Mapping[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 1383-1391.
[13] Gaofeng Cao, Fei Zhou, Kanglin Liu, Anjie Wang, and Leidong Fan. A decoupled kernel prediction network guided by soft mask for single image hdr reconstruction. ACM Transactions on Multimedia Computing, Communications and Applications, 2023.
[14] H. Li, B. Li, S. Tan, and J. Huang, “Identification of Deep Network Generated Images Using Disparities in Color Components,” Signal Processing, vol. 174, p. 107616, 2020, doi: 10.1016/j.sigpro.2020.107616.
[15] P. Zhuang, H. Li, S. Tan, B. Li, and J. Huang, “Image Tampering Localization Using a Dense Fully Convolutional Network,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2986–2999, 2021, doi: 10.1109/TIFS.2021.3070444.
[16] L. Zhuo, S. Tan, B. Li, and J. Huang, “Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization,” IEEE Transactions on Information Forensics and Security, vol. 17, pp. 819–834, 2022, doi: 10.1109/TIFS.2022.3152362.
[17] S. Wei, H. Li, and J. Huang, “Deep Video Inpainting Localization Using Spatial and Temporal Traces,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022, pp. 8957–8961.
[18] Q. Li, S. Chen, S. Tan, B. Li, and J. Huang, “One-class double compression detection of advanced videos based on simple Gaussian Distribution Model,” IEEE Transactions on Circuits and Systems for Video Technology, 2021.
[19] L. Zhao, C. Chen and J. Huang, “Deep Learning-based Forgery Attack on Document Images,” IEEE Transactions on Image Processing, vol. 30, pp. 7964-7979, 2021.
[20] C. Chen, S. Zhang, F. Lan and J. Huang, “Domain-agnostic Document Authentication against Practical Recapturing Attacks,” IEEE Transactions on Information Forensics and Security, vol. 17, pp. 2890-2905, 2022.
[21] Han Chen, Yuzhen Lin, Bin Li*. “Exposing Face Forgery Clues via Retinex-based Image Enhancement.” ACCV 2022.
[22] Yuzhen Lin, Han Chen, Bin Li*, Junqiang Wu. “Towards Generalizable Deepfake Face Forgery Detection with Semi-Supervised Learning and Knowledge Distillation.” ICIP 2022.
[23] Han Chen, Yuzhen Lin, Bin Li*, Shunquan Tan. “Learning Features of Intra-consistency and Inter-diversity: Keys towards Generalizable Deepfake Detection.” TCSVT 2022.
[24] Yuzhen Lin, Han Chen, Emanuele Maiorana, Patrizio Campisi, Bin Li*. “Towards Generalizable Deepfake Face Forgery Detection with Semi-Supervised Learning and Knowledge Distillation.” ICME 2022.